@inproceedings{78cbab793faa463ead590251c6b9c8f3,
title = "Human activity recognition using smartphone sensors",
abstract = "In the paper a human activity recognition system has been presented based on the data gathered with the smartphone sensors. The acceleration, magnetic field and sound have been registered and four different activities of daily living has been recognized i.e. riding a bike, driving in a car, walking and sitting. Two version of Support Vector Machine (SVM) classifier have been employed and the obtained results are promising.",
keywords = "Human activity recognition, Smartphones, Support vector machine",
author = "Bugdol, \{Marcin D.\} and Mitas, \{Andrzej W.\} and Marcin Grzegorzek and Robert Meyer and Christoph Wilhelm",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 5th International Conference on Information Technologies in Biomedicine, ITIB 2016 ; Conference date: 20-06-2016 Through 22-06-2016",
year = "2016",
doi = "10.1007/978-3-319-39904-1\_4",
language = "English",
isbn = "9783319399034",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "41--47",
editor = "Ewa Pi{\c e}tka and Pawel Badura and Jacek Kawa and Wojciech Wieclawek",
booktitle = "Information Technologies in Medicine - 5th International Conference, ITIB 2016, Proceedings",
address = "Germany",
}